ggml-org/llama.cpp vs sgl-project/sglang
Compare ggml-org/llama.cpp and sgl-project/sglang using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
ggml-org/llama.cpp
llama.cpp is a dependency-light C/C++ implementation for running LLM inference across diverse hardware. It provides tools for quantization, benchmarking, and serving, requiring models in the GGUF format.
- License
- MIT
- Deployment
- Refer to project documentation
- Use cases
- Developers and AI engineers who need to run LLM inference via a CLI, API, or library and want to use 1.5-bit to 8-bit integer quantization to reduce memory use. · Users who need to benchmark inference performance, measure perplexity, or constrain output formats using grammars.
- Updated
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sgl-project/sglang
SGLang is a serving framework designed for low-latency, high-throughput inference of large language and multimodal models across diverse hardware. It provides a fast runtime with RadixAttention, continuous batching, and distributed parallelism for AI engineers and operations teams building model APIs.
- License
- Apache-2.0
- Deployment
- Refer to project documentation
- Use cases
- Image Processing
- Updated
- 2026-07-17T10:00:18Z
How to choose
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